{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6WPZUKNDQP4TCE5LWNQ65MAF4Y","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b8772dd4e42b6c680173aa102dcfc7d98a6035a1a58c6d3923b19e7e2add0d79","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-04-22T23:44:45Z","title_canon_sha256":"1794075db33744ae732e660b5bb8c69933ea2bcaa878e2eb9cae7a4228d79ffa"},"schema_version":"1.0","source":{"id":"2204.10958","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.10958","created_at":"2026-07-05T04:17:05Z"},{"alias_kind":"arxiv_version","alias_value":"2204.10958v1","created_at":"2026-07-05T04:17:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.10958","created_at":"2026-07-05T04:17:05Z"},{"alias_kind":"pith_short_12","alias_value":"6WPZUKNDQP4T","created_at":"2026-07-05T04:17:05Z"},{"alias_kind":"pith_short_16","alias_value":"6WPZUKNDQP4TCE5L","created_at":"2026-07-05T04:17:05Z"},{"alias_kind":"pith_short_8","alias_value":"6WPZUKND","created_at":"2026-07-05T04:17:05Z"}],"graph_snapshots":[{"event_id":"sha256:e8b4a48a3fae39a159c883a1253065966dd811fc8bfefabc1fc5460ffa7e293b","target":"graph","created_at":"2026-07-05T04:17:05Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2204.10958/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning promotes the continuous development of signal processing in various fields, including network traffic monitoring, EEG classification, face identification, and many more. However, massive user data collected for training deep learning models raises privacy concerns and increases the difficulty of manually adjusting the network structure. To address these issues, we propose a privacy-preserving neural architecture search (PP-NAS) framework based on secure multi-party computation to protect users' data and the model's parameters/hyper-parameters. PP-NAS outsources the NAS task to","authors_text":"Fuyi Wang, Lei Pan, Leo Yu Zhang, Robin Doss, Shengshan Hu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-04-22T23:44:45Z","title":"Towards Privacy-Preserving Neural Architecture Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.10958","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6d13402d56644ac99d9aa342b36179cf21c03b9d0aaa7d9e5e6131ea694c2b40","target":"record","created_at":"2026-07-05T04:17:05Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b8772dd4e42b6c680173aa102dcfc7d98a6035a1a58c6d3923b19e7e2add0d79","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-04-22T23:44:45Z","title_canon_sha256":"1794075db33744ae732e660b5bb8c69933ea2bcaa878e2eb9cae7a4228d79ffa"},"schema_version":"1.0","source":{"id":"2204.10958","kind":"arxiv","version":1}},"canonical_sha256":"f59f9a29a383f93113abb361eeb005e61c7f8ea37422252c0470d52dba8ad7f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f59f9a29a383f93113abb361eeb005e61c7f8ea37422252c0470d52dba8ad7f8","first_computed_at":"2026-07-05T04:17:05.650507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:17:05.650507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WC0lBAEFk4zY//s8Rq0mc+dhxu3gbMxhtTFrw1gh2bMMSWiKSBYauLQ5lKI9QTsQ3eAPD45SeRRYz4LvETTeDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:17:05.650963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.10958","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d13402d56644ac99d9aa342b36179cf21c03b9d0aaa7d9e5e6131ea694c2b40","sha256:e8b4a48a3fae39a159c883a1253065966dd811fc8bfefabc1fc5460ffa7e293b"],"state_sha256":"92b283f937a4ebdc1609cd4479b100147eda9ef52988e3e3f1c720f4fcad38de"}